Click Here to Register for the 2025 - 2026 Harvard Clinical Informatics Lecture Series
The Harvard Clinical Informatics Lecture Series will resume for 2025 - 2026 on September 16, 2025
To receive notifications of meetings and subsequent CME surveys, please join the HCILS Mailing List.
The Harvard Clinical Informatics Lecture Series (HCILS) provides a forum for clinicians and researchers at HMS and beyond to learn the field of clinical informatics. The series addresses core topics in clinical informatics as outlined by the Accreditation Council for Graduate Medical Education as well as cutting-edge research being done nationally.
This series is designed to change the way clinicians approach clinical informatics problems and provide them with tools to create more successful intervention.
The seminar intends to provide attendees with the tools to:
- Apply Clinical Informatics principles to solve clinical and operational challenges
- Understand proven informatics tools and techniques
- Critically review informatics evidence
Sessions are held virtually (via Zoom) on Tuesdays 12–1pm unless otherwise noted.
For questions about the series, please contact CILS@hms.harvard.edu.
Schedule 2025 - 2026: Upcoming Talks
10 Years of the HCILS: A Conversation with Dr. Zak Kohane
Tuesday, September 16, 2025 12 PM ET10 Years of the HCILS: A Conversation with Dr. Zak Kohane
Isaac Kohane, MD, PhD
Join us for a conversation with Dr. Isaac (Zak) Kohane, as we kick off the 10th year of the Harvard Clinical Informatics Lecture Series
Isaac “Zak” Kohane, MD, PhD, is the inaugural chair of Harvard Medical School’s Department of Biomedical Informatics, whose mission is to develop the methods, tools, and infrastructure required for a new generation of scientists and care providers to move biomedicine rapidly forward by taking advantage of the insight and precision offered by big data. Kohane develops and applies computational techniques to address disease at multiple scales, from whole health care systems to the functional genomics of neurodevelopment. He also has worked on AI applications in medicine since the 1990’s, including automated ventilator control, pediatric growth monitoring, detection of domestic abuse, diagnosing autism from multimodal data and most recently assisting clinicians using whole genome sequence and clinical histories to diagnose rare or unknown disease patients. He is the inaugural Editor-in-Chief of NEJM AI and co-author of a recent book “The AI Revolution in Medicine". He is a member of the National Academy of Medicine, the American Society for Clinical Investigation and the American College of Medical Informatics.